The Information and Artificial Intelligence International Research Hub Group aims to observe and analyze system dynamics. We use mathematical models to interpret big data, medical imaging data, and biological signals such as brainwaves in order to understand how these systems function, leading to the innovation of new technologies. Such new technologies will be used to establish systems that are able to make accurate predictions in the studied systems. As an example, we are involved in the development of an interface that will be able to communicate naturally with humans.

We harness the largely unrealized power of big data in various projects, including the estimation of fluctuations in the financial system using physical models and network theory, the identification of early signs of diseases from CT and MRI medical imaging data using machine learning techniques, the development of a computational neuroscientific approach to understand how the brain controls the body, as well as the description of a functional musculoskeletal model of the human body to build new brain-machine interfaces.

These projects will be advanced through the establishment of collaborations with international institutions that will create new fields of research combining information science and brain science as a foundation for artificial intelligence.


Information and Artificial Intelligence All Results

  • “Across Neurons and Silicon: Some Experiments Regarding the Pervasiveness of Nonlinear Phenomena”

    Ludovico Minati

    ACTA PHYSICA POLONICA B, Vol. 49 (2018), 2029-2093

    DOI: 10.5506/APhysPolB.49.2029

  • “High-dimensional dynamics in a single-transistor oscillator containing Feynman-Sierpiński resonators: Effect of fractal depth and irregularity”

    Ludovico Minati, Mattia Frasca, Gianluca Giustolisi, Paweł Oświȩcimka, Stanisław Drożdż, and  Leonardo Ricci

    Chaos 28, 093112 (2018)

    DOI: 10.1063/1.5047481

  • “MutHTP: mutations in human transmembrane proteins”

    Kulandaisamy A, Binny Priya S, Sakthivel R, Tarnovskaya S, Bizin I, Hönigschmid P, Frishman D, Gromiha MM

    Bioinformatics, 2018 Jul 1;34(13):2325-2326,

    DOI: 10.1093/bioinformatics/bty054

  • “Identification and Analysis of Key Residues Involved in Folding and Binding of Protein-carbohydrate Complexes”

    Shanmugam NRS, Selvin JFA, Veluraja K, Gromiha MM

    Protein Pept Lett., 2018;25(4):379-389

    DOI: 10.2174/0929866525666180221122529

  • ”Smoluchowski Equation for Networks: Merger Induced Intermittent Giant Node Formation and Degree Gap”

    Hayato Goto, Eduardo Viegas, Henrik Jeldtoft Jensen, Hideki Takayasu, and Misako Takayasu

    Journal of Statistical Physics, 172(4), 1086-1100

    DOI: 10.1007/s10955-018-2073-2